Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method

Abstract

In December 2019, SARS-CoV-2 caused the coronavirus disease to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.

Application of Advanced Hybrid Models to Identify the Sustainable Financial Management Clients of Long-Term Care Insurance Policy

“…According to the conditional attributes of insurance clients, this study applies data mining tools to consolidate the data into reports, through machine learning, and identify the key factors making it possible to buy long-term care insurance. Through the mature and wide application of data mining technology in various fields, such as the prediction of immunization vaccine demand [7], big data analysis [8], prediction of bank loan risk [9], and the decision support system [10], especially the Naive Bayes classifier, K-Nearest Neighbor method (KNN), and Decision Tree (J48), etc., as well as other methods with good performance in other studies, the above problems can be solved. In this study, the conditional attributes of data status quo of the original clients' policy purchasing of life insurance companies in the industry, as well as data mining technology, have been used to discover important factors that might lead to customers repurchasing long-term care insurance.…”

Predict the Risk Level in Iraqi Governorates According to the Spread of COVID-19 Using Data Mining

“…Data mining is used to find similar patterns and extract knowledge from large amounts of data. Machine and deep learning algorithms are data processing techniques that help in building analytical models [3]. In this research, the aim is to predict the number of infected persons or deaths in each Iraqi governorate and for a subsequent period determined by a range of days.…”